spo_gtfs <- read_gtfs("D:/Downloads/gtfs.zip",encoding = "UTF-8")## Warning in data.table::fread(file.path(tmpdir, file_txt), select =
## fields_classes, : Found and resolved improper quoting out-of-sample. First
## healed line 50088: <<׳׳¨׳›׳– ׳©׳™׳§׳•׳ "׳׳™׳׳"/׳”׳׳“׳¢,EN,"Ilan" Rehabilitation
## Center/Hamada>>. If the fields are not quoted (e.g. field separator does not
## appear within any field), try quote="" to avoid this warning.lines <- spo_gtfs$routes %>%
# at first, only for Dan Beer sheva
filter(agency_id == 32) %>%
select(route_id,route_desc) %>%
# join with trips
left_join(spo_gtfs$trips, by = "route_id") %>%
# get only distinct values
select(route_desc,shape_id) %>%
distinct() %>%
# join with shapes
left_join(spo_gtfs$shapes, by = "shape_id") %>%
# arrange points in each line by sequence
arrange(route_desc,shape_id,shape_pt_sequence) %>%
# create linestring for each line
group_by(route_desc,shape_id) %>%
nest() %>%
mutate(line = st_sfc(map(data, ~.x %>%
select(shape_pt_lon ,shape_pt_lat) %>%
as.matrix() %>%
st_linestring() ),crs=4326),
# transform to ITM
line = st_transform(line,2039)) %>%
select(-data) %>%
ungroup() %>%
st_sf()
m1 <- mapview(lines,zcol = "route_desc")
m1@mapintersections <-
# explode all lines
st_segments(lines$line) %>%
st_as_sf() %>%
# get only distinct segments
distinct() %>%
# parse as sfnetoworks object
as_sfnetwork() %>%
# subdivide segments that intersect (assuming planar graph)
convert(to_spatial_subdivision) %>%
# smooth useless nodes
convert(to_spatial_smooth) %>%
st_as_sf() ##
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|======================================================================| 100%m2 <- mapview(intersections)
m2@mapstops_routes <- spo_gtfs$routes %>%
# at first, only for Dan Beer sheva
filter(agency_id == 32) %>%
# join change until getting to stops
left_join(spo_gtfs$trips, by = "route_id") %>%
left_join(spo_gtfs$stop_times, by = "trip_id") %>%
left_join(spo_gtfs$stops,by = "stop_id") %>%
# get only distinct stops per line
select(route_id,route_desc,shape_id,stop_id,stop_sequence,stop_lat,stop_lon) %>%
distinct() %>%
st_as_sf(coords = c("stop_lon","stop_lat"),crs = 4326) %>%
st_transform(2039)
m3 <- mapview(stops_routes,zcol = "route_desc")
m3@mapmakats <- lines$route_descmap(makats[1],function(x){
line <- lines %>% filter(route_desc == x)
stops <- stops_routes %>% filter(route_desc == x)
line %>%
as_sfnetwork() %>%
st_network_blend(stops,10) %>%
st_network_blend(stops_routes,10) %>%
st_network_blend(intersections,0.1)
}) %>%
`[[`(1) -> line_with_all_cuts## Warning: st_network_blend assumes attributes are constant over geometries
## Warning: st_network_blend assumes attributes are constant over geometries
## Warning: st_network_blend assumes attributes are constant over geometriesline_with_all_cuts %>% activate(nodes) %>% st_as_sf() -> cuts
line_with_all_cuts %>% activate(edges) %>% st_as_sf() -> liness
m4 <- mapview(cuts,col.regions = "orange")
m5 <- mapview(liness)
m6 <- mapview(intersections,col.regions = "yellow")
m7 <- mapview(stops_routes,col.regions = "blue")
m8 <- m5+m6+m7 + m4
m8@map